Viktorija Dimova-Edeleva
Papers
1
Total Citations
9
H-Index
1
About
Viktorija Dimova-Edeleva is a pioneering researcher at the intersection of cognitive neuroscience and human-robot interaction (HRI). Her work fundamentally reimagines how robots can anticipate and adapt to human intentions, moving beyond pre-programmed responses toward truly collaborative partnerships. In her landmark 2023 study, "Human-robot collaborative task planning using anticipatory brain responses," she demonstrated that robots can decode neural signals to predict a human partner's next move in real-time, enabling seamless joint task execution. This breakthrough—already garnering 9 citations—positions her at the forefront of brain-computer interface (BCI) applications in robotics. Dimova-Edeleva’s contributions address a critical challenge in HRI: the need for robotic systems that exhibit high adaptability and flexibility toward their human counterparts. By integrating anticipatory brain responses into task planning, she has opened new pathways for assistive robotics, manufacturing, and rehabilitation technologies. Her work not only advances theoretical frameworks in cognitive robotics but also offers practical solutions for creating intuitive, responsive human-robot teams. For students and researchers, Dimova-Edeleva exemplifies how interdisciplinary approaches can transform human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1